Our latest model has also made improvements on safety. It hallucinates less and is more resistant to jailbreaks, as shown in our automated red-teaming evaluation.
AI
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Claude Instant 1.2 Now Available via Anthropic API
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Developers looking to work with Claude Instant 1.2 can now call our latest model over our API! https://
docs.anthropic.com/claude/referen
ce/selecting-a-model
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Claude Instant 1.2 API Launch: Faster, Capable Model
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Introducing our latest version of Claude Instant, version 1.2, available now through our API!
— Anthropic (@AnthropicAI) 9 août 2023
Claude Instant is our faster, lower-priced yet still very capable model, which can handle a range of tasks including dialogue, analysis, summarization, and document comprehension. pic.twitter.com/p9M2d7O9K9Introducing our latest version of Claude Instant, version 1.2, available now through our API! Claude Instant is our faster, lower-priced yet still very capable model, which can handle a range of tasks including dialogue, analysis, summarization, and document comprehension.
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Resilience Raises 100 Million Dollars in Series D Funding
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Insurtech @ResilienceSays completes a 100 million dollar Series D funding round https://actuia.com/actualite/linsurtech-resilience-realise-une-levee-de-fonds-de-100-millions-de-dollars-en-serie-d/ … #AI #artificialintelligence #cybersecurity
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Parent Document Retriever: Semantic Chunk Embeddings Strategy
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Parent Document Retriever A new retrieval algorithm that: Creates small chunks (to allow embeddings to have semantic meaning) Fetches the PARENT documents those chunks came from (to capture full context) Parent documents can be either raw documents or larger chunks
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Balancing Chunk Size for Semantic Embeddings in RAG Systems
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There was always a balance between small enough chunks to allow the embeddings to capture the semantic meaning of a chunk, while at the same time wanting them to be long enough to have the full context This helps strike this balance Docs: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/parent_document_retriever
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Expanding Context Windows Improves Semantic Chunk Retrieval
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Can also be thought of as similar to fetching the chunk before/after the most semantically similar chunk This takes advantage of the fact that context windows are getting longer and longer! This would have been less plausible a few months ago
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Exploring Retrieval Algorithms for LangChain Documentation
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We'd been noodling on this concept for a bit, but spurred into action by @ChrisBoraTweets yesterday: https://
x.com/ChrisBoraTweet
s/status/1689018380584439808?s=20
… What other retrieval algorithms would be good to add? Docs: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/parent_document_retriever
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AI and Power: Ethical Challenges of Automation and Centralization
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https://
bit.ly/2wqaIXz – AI and Power: The Ethical Challenges of Automation, Centralization, and Scale https://
bit.ly/3OiO1eY #AI #MachineLearning #DeepLearning #LLMs #DataScience -
LangChainJS Text Splitters Available for Development
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i think we have most of these splitters in langchainjs – @Hacubu can maybe help you out